A compressed hydrogen energy storage underground storage site selection method

By deeply mining multi-source borehole data, constructing a heterogeneous stochastic geological model and conducting multi-physics field coupled simulation, the one-sidedness and distortion problems of existing site selection methods are solved, and more accurate underground reservoir site selection decisions are achieved.

CN121920789BActive Publication Date: 2026-06-09YUNLONG LAKE LAB OF DEEP UNDERGROUND SCI & ENG
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNLONG LAKE LAB OF DEEP UNDERGROUND SCI & ENG
Filing Date
2026-03-23
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing methods for selecting underground compressed hydrogen energy storage sites rely on experience, resulting in distorted geological modeling, one-sided site evaluation, inability to deeply mine borehole data, and neglect of the randomness and structural variations in geological models. This leads to overly optimistic site selection results or blind spots, failing to scientifically guide the optimal site selection.

Method used

By collecting multi-source borehole data, microscopic lithological features and macroscopic stratigraphic features are extracted using convolutional neural networks and long short-term memory networks. A heterogeneous stochastic geological model is constructed, and multi-physics field coupled simulation is performed. Performance indicators are calculated and uncertainty is quantified. A multi-objective optimization ranking method is used for comprehensive scoring and ranking to select the optimal reservoir site.

Benefits of technology

It has improved the accuracy of geological understanding of candidate reservoir sites, made simulation results more realistic, made site selection decisions more scientific and transparent, reduced human intervention and subjective bias, and provided the optimal site selection scheme with predictable risks.

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Abstract

This invention relates to the field of underground reservoir site selection technology, specifically to a method for selecting underground compressed hydrogen energy storage sites. The method includes: collecting multi-source borehole data from various candidate sites and extracting microscopic lithological characteristics, macroscopic stratigraphic characteristics, and parameter correlation characteristics; constructing a geological framework model based on the macroscopic stratigraphic characteristics, using data reflecting microscopic lithological characteristics and parameter correlation characteristics as soft data to generate several heterogeneous stochastic geological models; selecting several of these models as representative models and performing multi-physics coupled numerical simulations to obtain a series of performance index sets; quantifying the uncertainty of each performance index set and using a multi-objective optimization ranking method to comprehensively score and rank each candidate site; this method enables full utilization of multi-source borehole data, considers geological uncertainties, allows for high-fidelity stochastic geological modeling and simulation, and enables quantitative assessment of the performance and risk of multiple candidate sites.
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